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Design and build scalable security services and identity infrastructure; automate code security quality gates; conduct code reviews, penetration tests, and threat modeling; partner with engineering, IT, and infrastructure teams to secure authentication/authorization, SSO, and access lifecycle; evangelize best practices and present findings to leadership.

This role involves using data analysis to support marketing strategy, measuring campaign impact, and developing insights to inform marketing decisions.

The Finance Business Operations Manager at Lyft drives execution of strategic programs and M&A integration, coordinating finance operations across initiatives, and managing cross-functional relationships for effective integration and launch of products.

The Operations Lead at Flexdrive manages a team, ensuring operational excellence by analyzing market data, improving processes, and overseeing vehicle management. They support Lyft drivers throughout the rental process and focus on team development and vendor relations.

The Financial Analyst at Lyft Ads will manage financial processes, drive variance analyses, oversee budgets, and create executive presentations from data insights.

The Senior ML Software Engineer will create and improve capabilities for mapping data using machine learning, collaborating with engineers and data scientists, developing models, and writing production code.

The Business Systems Engineer supports Lyft's corporate systems, managing performance and incidents while configuring applications and providing end-user training. They enhance ERP Financials and handle the O2C processes, utilizing technical skills in Oracle systems, SQL, and conducting Agile methodologies for efficient delivery.

The Staff Data Scientist will lead data science initiatives, shaping business decisions with causal inference and advanced analytics in the Partnership, Loyalty & Pay team at Lyft, collaborating with multiple teams to drive strategic data-centric recommendations.

The Staff Data Scientist will leverage data analysis and modeling to drive business decisions and strategies through causal inference and advanced analytics across multiple teams.

Lead and reimagine Lyft's support enablement systems (Knowledge Management, Quality, Learning & Performance, Tooling). Set vision and OKRs, drive AI-native adoption, partner cross-functionally with Product and Engineering, translate strategy into execution, and manage a team of managers and their teams to improve customer outcomes at scale.